DSpace Collection:http://hdl.handle.net/10261/77417
Mon, 21 Jan 2019 23:12:57 GMT2019-01-21T23:12:57ZMethane emissions in Doñana saltmarshes over 2016‐2018http://hdl.handle.net/10261/173204
Título: Methane emissions in Doñana saltmarshes over 2016‐2018
Autor: Huertas, I. Emma; Paz, M. de la
Resumen: This data set includes recently published data used to assess the spatio‐temporal variability of dissolved methane in the salt marshes of Doñana National Park, SW Spain (Long:‐6.373, Lat:36.932, Datum:WSG84) between March 2016 and March 2018 and calculate CH4 air‐water fluxes.
Descripción: This data set includes measurements of water samples collected from 7 sites during 16 surveys carried out between March 2016 and March 2018 in the salt marshes of Doñana National Park. Geographic coordinates of sampling positions are provided. During samplings, in situ water conductivity (converted to salinity), temperature and pH were measured using a multi‐probe (YSI‐6920V2, YSI Incorporated, Yellow Springs, Ohio, USA) and water samples were collected for laboratory analysis of dissolved methane and nitrous oxide by static‐head space equilibration gas chromatography (GC) using an Agilent 7890 GC equipped with Flame Ionization Detector (FID) for CH4, according to de la Paz et al. (2015). Samples were also taken for analysis of phosphate, nitrate, nitrite and ammonia (with a Skalar Sanˆ++215 Continuous Flow Analyzer and using the standard colorimetric techniques described in Hansen and Koroleff 1999), dissolved oxygen and total alkalinity (using a Metrohm 794 Titroprocessor following the methods described by Mintrop et al. (2000) and Winkler) and dissolved organic carbon and total dissolved nitrogen that were determined through by catalytic oxidation at high temperature (720 °C) and chemiluminescence, respectively in a Shimadzu Total Organic Carbon analyzer (Model TOC‐VCPH/CPN), according to Álvarez‐Salgado and Miller (1998). Dissolved carbon dioxide partial pressure was calculated from pHNBS and total alkalinity using co2sys.xls (Pierrot et al., 2000) with the dissociation constants for carbon and sulfate of (Cai and Wang 1998) and (Dickson 1990), respectively.; Calculations of the equilibrium concentrations of methane and nitrous oxide in the water
phase was done using the annual averaged atmospheric mixing ratios CH4 (xCH4atm) provided by the World Data Center for Greenhouse Gases (http://ds.data.jma.go.jp/gmd/wdcgg/). Such mean value during the sampling period was calculated as 1866 ppb.; Daily measurements of rainfall (mm), air temperature (ºC) and wind speed (m s‐1) were provided by ameteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34” W) managed by the Junta de Andalucia (www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController).
The data is provided as [space] delimitated plain text files within a compressed folder that also includes a single README file (in PDF format) containing a detailed description of the data structure.; For more details, see the publication: I. Emma Huertas, Mercedes de la Paz, Fiz F. Perez, Gabriel Navarro and Susana Flecha 2019. Methane emissions from the salt marshes of Doñana wetlands: spatio‐temporal variability and controlling factors. Frontiers in Ecology and Evolution, section Conservation.; This dataset is subject to a Creative Commons License Attribution‐ShareAlike 4.0 International.; [General Notes] The data are provided under an Attribution‐ShareAlike 4.0 International license. However, if you use thedata, so as to support the authors, please consider citing the above mentioned article where data collection and analytical techniques are given in detail. Here we only give a brief details and a guide to the contents of the data files.
Data files are in UTF8 encoding, plain text format with {space} used as the delimiter and text enclosed in "". All data files have column titles as the first line. NA is used to represent no data.; [Geographical coordinates of water sampling sites] Doñana_saltmarshes_sampling_stations_geo_coordinates.csv provides the geographical coordinates of the sites. ST.ID represents the code (used to link to other data tables) for each site. long and lat are longitude and latitude, respectively. Geographic projection and WSG84 datum is used (EPSG:4326).; [Water physiochemical properties]
Doñana_saltmarshes_water_monitoring_2016‐2018.csv provides data from approximately monthly water sampling data between March 2016 and March 2018. Temperature, salinity and pH were measured with a multi‐probe (YSI‐6920V2, YSI Incorporated, Yellow Springs, Ohio, USA). Total alkalinity, concentrations of oxygen, organic carbon, organic nitrogen, inorganic nitrogen, pigments, suspended solids and dissolved phosphate were measured in the laboratory. pCO2 was calculated using pH and total alkalinity with co2sys.xls. SAMP.EVENT is a convenience code used to denominate each individual survey. SAMP.DATE is the day in which the sampling took place (in the Gregorian calendar). time.stamp.gmt is the time (GMT or UTC) at which the sample was collected, in extended ISO8601 format. ST.ID represents the code (used to link to other data tables) for each site. T.degC is the water temperature in degrees Celsius. Salinity is the water salinity (practical salinity units, i.e., no
units), calculated from conductivity. CH4.nmolL is methane concentration with units nano mol per liter. Chla.μmolL is chlorophyll‐a concentration with units micro mol per liter. TSM.mgL is total suspended solids concentration with units milli gram per liter. DOC.mgL is total dissolved organic carbon concentration with units milli gram per liter. TDN.mgL is total dissolved nitrogen concentration with units milligram per liter. NH4.μmolL is dissolved ammonium concentration with units micro mol per liter.
NO2.μmolL is dissolved nitrite concentration with units micro mol per liter. NO3.μmolL is dissolved nitrate concentration with units micro mol per liter. PO4.μmolL is dissolved inorganic phosphate concentration (i.e., not organic or total) with units micro mol per liter. O2.mgL is dissolved oxygen concentration with units mili gram per liter. pCO2.μatm is partial pressure of CO2 in water with units micro atmosphere.; [Meteorological data] Daily measurements of air temperature (ºC), wind speed (m s‐1) and humidity were provided by a meteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34” W) maintained by the Junta de Andalucia
(www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController).
Doñana_saltmarshes_meteorological_data.csv contains monthly‐ensemble‐averaged wind velocities at 1 m (uz) above the land surface with units meters per second. T.degC is monthly mean air temperature at 1m above the land surface with units degrees Celcius. hum.% is the relative humidity at 1m above the land surface expressed as a percent.Fri, 14 Dec 2018 08:11:00 GMThttp://hdl.handle.net/10261/1732042018-12-14T08:11:00ZMethane and Nitrous Oxide in the Guadalquivir estuary (SW Spain) over 2016‐2017http://hdl.handle.net/10261/160022
Título: Methane and Nitrous Oxide in the Guadalquivir estuary (SW Spain) over 2016‐2017
Autor: Huertas, I. Emma; Paz, M. de la
Resumen: This data set includes recently published data used to assess the spatio‐temporal variability of
dissolved methane and nitrous oxide in the Guadalquivir river estuary, SW Spain (Long: ‐6º 20´
31.56´´, Lat: 36º 47´54´´, Datum: WSG84) between March 2016 and March 2017 and calculate
air‐water fluxes of both gases.
Descripción: This data set includes measurements of water samples collected from 5 sites during 8 surveys carried out between March 2016 and March 2017 in the Guadalquivir river estuary. Geographic coordinates of sampling positions and a Google Earth .kml file are provided. During samplings, in situ water conductivity (converted to salinity), temperature and pH were measured using a multi‐probe (YSI‐6920V2, YSI Incorporated, Yellow Springs, Ohio, USA) and water samples were collected for laboratory analysis of dissolved methane and nitrous oxide by static‐head space equilibration gas chromatography (GC) using an Agilent 7890 GC equipped with an Electron Capture Detector (ECD) for N2O and Flame Ionization Detector (FID) for CH4, according to de la Paz et al. (2015). Samples were also taken for analysis of phosphate, nitrate, nitrite and ammonia (with a Skalar Sanˆ++215 Continuous Flow Analyzer and using the standard colorimetric techniques described in Hansen and Koroleff 1999), dissolved oxygen and total alkalinity (using a Metrohm 794 Titroprocessor following the methods described by Mintrop et al. (2000) and Winkler) and dissolved organic carbon and total dissolved nitrogen that through catalytic oxidation at high temperature (720 °C) and chemiluminescence (using a Shimadzu Total Organic Carbon analyzer Model TOC‐VCPH/CPN, according to Álvarez‐Salgado and Miller 1998). Dissolved carbon dioxide partial pressure was calculated from pH and total alkalinity using co2sys.xls (Pierrot et al., 2000) with the dissociation constants for carbon and sulphate of Cai and Wang (1998) and Dickson (1990), respectively. Calculations of the equilibrium concentrations of methane and nitrous oxide in the water phase was done using the annual averaged atmospheric mixing ratios CH4 (xCH4atm) and N2O (xN2Oatm) provided by the World Data Center for Greenhouse Gases (http://ds.data.jma.go.jp/gmd/wdcgg/). Such mean values during the sampling period were calculated as 1866 ppb and 328 ppb for xCH4atm and xN2Oatm respectively. Daily measurements of rainfall (mm), air temperature (ºC), relative humidity and wind speed
(m s‐1) were provided by ameteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34”W) managed by the Junta de Andalucia (www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController). The data are provided as [space] delimitated plain text files and Google Earth .kml and .kmz files within a compressed folder that also includes a single README file (in PDF format) containing a detailed description of the data structure.; General Notes: The data are provided under an Attribution‐ShareAlike 4.0 International license. However, if
you use the data, so as to support the authors, please consider citing the article: Emma Huertas, Susana Flecha, Gabriel Navarro, Fiz F. Perez, Mercedes de la Paz. 2018. Spatio‐temporal variability and controlling parameters of methane and nitrous oxide in the Guadalquivir Estuary, Southwestern Europe. Aquatic Sciences.-- Data collection and analytical techniques are given in detail with the associated publication,
here we only give a brief details and a guide to the contents of the data files.-- Data files are in plain text format with [space] used as the delimiter and text enclosed in "". All data files have column titles as the first line. NA is used to represent no data.; Geographical coordinates of water sampling sites: Guadalquivir_estuary_sampling_stations_geo_coordinates.txt provides the geographical
coordinates of the sites. ST.ID represents the code (used to link to other data tables) for each
site. long and lat are longitude and latitude, respectively. Geographic projection and WSG84
datum is used (EPSG:4326).-- For convenience Guadalquivir_estuary_sampling_stations.kml is also included to allow visualization of the site positions in Google Earth (or other GIS software; note kml files have the Pseudo‐Mercator projection [EPSG:3857]).; Water physiochemical properties; Guadalquivir_estuary_water_monitoring_2016‐2017.txt provides data from water sampling data during eight surveys conducted between March 2016 and March 2017. Temperature, salinity and pH were measured with a multi‐probe (YSI‐6920V2, YSI Incorporated, Yellow Springs, Ohio, USA). Total alkalinity, concentrations of dissolved compounds (oxygen, organic
carbon, total nitrogen, inorganic nitrogen and phosphate), pigments and suspended solids
were measured in the laboratory. pCO2 was calculated using pH and total alkalinity with
co2sys.xls.-- SAMP.EVENT is a convenience code used to denominate each individual survey. SAMP.DATE is the day in which the survey took place (in the Gregorian calendar). time.stamp.gmt is the time (GMT or UTC) at which the sample was collected, in extended ISO8601 format.-- ST.ID represents the code (used to link to other data tables) for each site. T.degC is the water temperature in degrees Celsius. Salinity is the water salinity (practical salinity units, i.e., no units), calculated from conductivity.-- CH4.nmolL is methane concentration with units nano mol per liter. N2O.nmolL is nitrous oxide concentration with units nano mol per liter.-- Chla.umolL is chlorophyll‐a concentration with units micro mol per liter. TSM.mgL is total suspended solids concentration with units milli gram per liter. DOC.mgL is total dissolved organic carbon concentration with units milli gram per liter. TDN.mgL is total dissolved nitrogen concentration with units milli gram per liter. NH4.umolL is dissolved ammonium concentration with units micro mol per liter. NO2.umolL is dissolved nitrite concentration with units micro mol per liter. NO3.umolL is dissolved nitrate concentration with units micro mol per liter. PO4.umolL is dissolved inorganic phosphate concentration (i.e., not organic or total) with units micro mol per liter. O2.umolKg is dissolved oxygen concentration with units micro
mol per kilogram. pCO2.uatm is partial pressure of CO2 in water with units micro atmosphere.; Meteorological data: Daily measurements of air temperature (ºC), wind speed (m s‐1) and humidity were provided by a meteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34” W) maintained by the Junta de Andalucia
(www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController).-- Guadalquivir_estuary_meteorological_data.txt contains daily‐ensemble‐averaged wind velocities at 1 m (uz) above the land surface. SAMP.MONTH is the month in which the survey and samples collection took place. uz.ms is the monthly mean wind velocity at 1m above the land surface with units meters per second. T.degC is monthly mean air temperature at 1m above the land surface with units degrees Celcius. hum.% is the relative humidity at 1m above the land surface expressed as a percent.Thu, 01 Feb 2018 12:27:03 GMThttp://hdl.handle.net/10261/1600222018-02-01T12:27:03ZDiet of bottlenose dolphins (Tursiops truncatus) from the Gulf of Cadiz: Insights from stomach content and stable isotope analyses (Dataset)http://hdl.handle.net/10261/154614
Título: Diet of bottlenose dolphins (Tursiops truncatus) from the Gulf of Cadiz: Insights from stomach content and stable isotope analyses (Dataset)
Autor: Giménez, Joan; Marçalo, Ana; Ramírez, Francisco; Verborgh, Philippe; Gauffier, Pauline; Esteban, Ruth; Nicolau, Lídia; González-Ortegón, Enrique; Baldó, Francisco; Vilas, César; Vingada, José; G. Forero, Manuela; de Stephanis, Renaud
Resumen: The ecological role of species can vary among populations depending on local and regional differences in diet. This is particularly true for top predators such as the bottlenose dolphin (Tursiops truncatus), which exhibits a highly varied diet throughout its distribution range. Local dietary assessments are therefore critical to fully understand the role of this species within marine ecosystems, as well as its interaction with important ecosystem services such as fisheries. Here, we combined stomach content analyses (SCA) and stable isotope analyses (SIA) to describe bottlenose dolphins diet in the Gulf of Cadiz (North Atlantic Ocean). Prey items identified using SCA included European conger (Conger conger) and European hake (Merluccius merluccius) as the most important ingested prey. However, mass-balance isotopic mixing model (MixSIAR), using δ13C and δ15N, indicated that the assimilated diet consisted mainly on Sparidae species (e.g. seabream, Diplodus annularis and D. bellottii, rubberlip grunt, Plectorhinchus mediterraneus, and common pandora, Pagellus erythrinus) and a mixture of other species including European hake, mackerels (Scomber colias, S. japonicus and S. scombrus), European conger, red bandfish (Cepola macrophthalma) and European pilchard (Sardina pilchardus). These contrasting results highlight differences in the temporal and taxonomic resolution of each approach, but also point to potential differences between ingested (SCA) and assimilated (SIA) diets. Both approaches provide different insights, e.g. determination of consumed fish biomass for the management of fish stocks (SCA) or identification of important assimilated prey species to the consumer (SIA).
Descripción: Questions should be addressed to Joan Giménez (joan.gimenez@csic.es).Thu, 31 Aug 2017 11:33:53 GMThttp://hdl.handle.net/10261/1546142017-08-31T11:33:53ZDissolved carbon dioxide within aquatic areas of Doñana Natural Area (2010-2013)http://hdl.handle.net/10261/152095
Título: Dissolved carbon dioxide within aquatic areas of Doñana Natural Area (2010-2013)
Autor: Huertas, I. Emma; Morris, Edward P.
Resumen: This data set includes recently published data used to calculate air-water carbon dioxide fluxes within aquatic areas of Doñana Natural Area, SW Spain (Long: -6.373, Lat: 36.932, Datum: WSG84) between March 2010 and May 2013.
Descripción: This data set includes measurements of water samples collected from 11 water bodies (n = 8 to 30 per water body) between March 2010 and March 2013 within Doñana Natural Area. Geographic coordinates of sampling positions and a Google Earth .kml file are provided.; Approximately every 30 days in situ water conductivity (converted to salinity), temperature and pH were measured using a multi-probe (YSI-6920V2, YSI Incorporated, Yellow Springs, Ohio, USA) and filtered water samples were collected for laboratory analysis of dissolved phosphate, silica (using a Skalar San^++ 215 Continuous Flow Analyzer) and total alkalinity (using a Metrohm 794 Titroprocessor following the method described by Mintrop et al. (2000) (http://hdl.handle.net/10261/25136). Dissolved carbon dioxide partial pressure was calculated from pH and total alkalinity using co2sys.xls (Pierrot et al., 2000) (http://cdiac.ornl.gov/ftp/co2sys/CO2SYS_calc_XLS_v2.1/) with the dissociation constants for carbon and sulphate of (Cai and Wang 1998) and (Dickson 1990) (https://doi.org/10.1016/0021-9614(90)90074-Z), respectively.; Atmospheric partial pressure of CO2 (μatm) was obtained from the NOAA (National Oceanic and Atmospheric Administration, USA) monitoring station in Izaña, Spain (Site: IZO, http://www.esrl.noaa.gov/gmd/dv/site/).; Daily measurements of rainfall (mm), air temperature (ºC) and wind speed (m s-1) were provided by a meteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34’’ W) maintained by the Junta de Andalucia (www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController).; Estimates of the areal extent of the water bodies derived via remote sensing (Landsat image archive, (http://landsat.usgs.gov/) within each wetland region of Donana Natural Area are included to allow up-scaling of fluxes to regional air-water C transport rates. A Google Earth .kml file delineating the wetland regions is provided.; The data is provided as [space] delimitated plain text files and Google Earth .kml and .kmz files within a compressed folder that also includes a single README file (in markdown format converted to HTML and PDF) containing a detailed description of the data structure.; This dataset is subject to a Creative Commons License Attribution-ShareAlike 4.0 International.Wed, 28 Jun 2017 06:54:33 GMThttp://hdl.handle.net/10261/1520952017-06-28T06:54:33Z